Artificial Intelligence for Neurological Disorders - Ajith Abraham - Livros - Elsevier Science & Technology - 9780323902779 - 22 de setembro de 2022
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Ajith Abraham
Artificial Intelligence for Neurological Disorders

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Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and Machine Learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks, and image processing methods. Chapters include AI techniques for early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with a broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapies advances.

500 pages, Approx. 100 illustrations (50 in full color); Illustrations, unspecified

Mídia Livros     Paperback Book   (Livro de capa flexível e brochura)
Lançado 22 de setembro de 2022
ISBN13 9780323902779
Editoras Elsevier Science & Technology
Páginas 432
Dimensões 150 × 220 × 10 mm   ·   450 g
Idioma Inglês  
Editor Abraham, Ajith (Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, United States)
Editor Dash, Sujata (Department of Computer Application, Maharaja Srirama Chandra BhanjaDeo University (erstwhile North Orissa University), Baripada, Mayurbhanj, Odisha, India)
Editor Garcia-Hernandez, Laura (Associate Professor of Project Engineering, University of Cordoba, Cordoba, Spain)
Editor Pani, Subhendu Kumar (Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India)

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